In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques.

In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques.

Show other versions (1)

Most previous research focuses on finding Self-Admitted Technical Debt (SATD) or detecting bugs alone, rather to addressing the concurrent identification of both issues. These study investigations solely identify and classify the SATD or faults, without identifying or categorising bugs based on SATD...

Full description

Saved in:
Bibliographic Details
Main Authors: Sajid Ullah, M Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Abdulkream Alsulami, Safa Habibullah
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0324847
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items